code: def set_layer_state(args, model, hf_model, layer_idx):
      """Set transformer layer params."""
  
      layer = model.language_model.encoder.layers[layer_idx]
      hf_layer = hf_model.model.layers[layer_idx]
  
      set_attn_state(args, layer, hf_layer)
      set_mlp_state(args, layer, hf_layer)
      layer.input_norm.weight.data.copy_(
          hf_layer.input_layernorm.weight
      )
      layer.post_attention_norm.weight.data.copy_(
          hf_layer.post_attention_layernorm.weight
      )
  
file_path: megatron-lm/tools/checkpoint/loader_llama2_hf.py
imports: import json
  import os
  import sys
  import torch
  import transformers
  from tqdm import tqdm
  import types
label_desc: Use image node_id 8 for calling a global function with example usage: set_layer_state(args, model, hf_model, layer_idx) without return types